# Deep-Learning-with-TensorFlow-book **Repository Path**: trailofstar/Deep-Learning-with-TensorFlow-book ## Basic Information - **Project Name**: Deep-Learning-with-TensorFlow-book - **Description**: https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2021-01-27 - **Last Updated**: 2021-01-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # TensorFlow 2.0深度学习开源书(龙书) 基于TensorFlow 2.0正式版!!! 理论与实战结合,非常适合入门学习!!! 本仓库包含pdf电子书、配套源代码、配套课件等。部分代码已替换为Ipython Notebook形式,感谢这位[童鞋](https://github.com/Relph1119/deeplearning-with-tensorflow-notes)的整理。 [百度网盘下载](https://pan.baidu.com/s/1GgQjhDqSgSfjxqBMsE3RDQ) 提取码:juqs - **本书被“机器之心”,“量子位”等权威媒体报导!** - **本库在Github趋势日榜单连续多天全球排名第1!**

- 提交错误或者修改等反馈意见,请在Github [Issues](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book/issues)页面提交 - 联系邮箱(一般问题建议Github issues交流):liangqu.long AT gmail.com - 高校老师索取PPT原素材等教案,请邮箱联系,并详注院校课程等信息,我们准备好了会第一时间邮件回复 - 使用本书本的任何内容时(**仅限非商业用途**),请注明作者和Github链接 # “龙书”生态系统 - [介绍短片](https://www.bilibili.com/video/av75331861) - [English Version](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book-EN) - [TensorFlow视频课程](https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1209092816&_trace_c_p_k2_=9e74eb6f891d47cfaa6f00b5cb5f617c) - [PyTorch深度学习开源书](https://github.com/dragen1860/Deep-Learning-with-PyTorch-book) - 更多TensorFlow 2实战案例在[这里](https://github.com/dragen1860/TensorFlow-2.x-Tutorials) # 简要目录

# 初学者交流QQ群 - 人工智能101学院-免费2群:535205236 - 人工智能101学院-免费1群:295208768(已满) # 配套视频课程 适合零基础、希望快速入门AI的朋友,提供答疑、指导等全方位服务。 - 深度学习与TensorFlow入门实战 https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1209092816&_trace_c_p_k2_=9e74eb6f891d47cfaa6f00b5cb5f617c - 深度学习与PyTorch入门实战 https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1208894818&_trace_c_p_k2_=8d1b10e04bd34d69855bb71da65b0549